Invention Application
- Patent Title: MACHINE-LEARNING MODEL TO PREDICT PROBABILITY OF SUCCESS OF AN OPERATOR IN A PAAS CLOUD ENVIORNMENT
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Application No.: US16950228Application Date: 2020-11-17
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Publication No.: US20220156631A1Publication Date: 2022-05-19
- Inventor: ALI KANSO , Jinho HWANG , Muhammed Fatih Bulut , SHRIPAD NADGOWDA , Chen Lin
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N7/00 ; G06F8/60

Abstract:
Systems and methods are provided that integrate a machine-learning model, and more specifically, utilizing a platform as a service (PaaS) cloud to predict probability of success for an operator in an environment. An embodiment comprises a system having: a processor that executes computer executable components stored in memory, trained machine-learning model that predicts probability of success for deployment of an operator in an environment with a namespace of a platform as a service (PaaS) cloud, and a deployment component that receives a first operator and a first namespace and employs the trained machine-learning model to predict success of deployment of the first operator in a first environment.
Public/Granted literature
- US12124924B2 Machine-learning model to predict probability of success of an operator in a PaaS cloud environment Public/Granted day:2024-10-22
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